Case-Base Manufacturing Process Planning with Integrated
Support for Knowledge Sharing
Department of Electrical and Computer Engineering
University of Arizona
Tucson, Arizona 85721
Abstract
Computer aided process planning is a key part of bridging the link between
design and manufacturing.
Case-based reasoning provides an attractive paradigm for process planning
as it combines the generative and variant approaches and improves the
effectiveness of the planner by applying old
experiences to solving new planning problems.
We present a new case-based planning methodology that extends
the capability and effectiveness of previous approaches by incorporating the
ability to learn
new domain knowledge from other planners via an
integrated knowledge sharing mechanism.
In addition, our planner has the capability to use
multiple cases in the process of constructing a new plan, providing more
effective utilization of the planner's previous experiences.
The planning
algorithm is based on domain-independent partial-order planning, and
provides a formal approach to case-based process planning.